RAG vs Fine-Tuning: Which Approach Is Right for Your AI Product?
RAG and fine-tuning solve different problems, and teams lose months by picking the wrong one. RAG fetches your current documents before the model answers. Fine-tuning teaches the model a pattern from examples. Neither one is a shortcut to "an AI that knows our company." This guide shows when to use each, when to use both, and when a clear prompt is enough.

